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Social Media MCP Server: Give Claude, Cursor & ChatGPT Live TikTok, Instagram, and YouTube Data

June 19, 2026
10 min read
S
By SociaVault Team
MCPModel Context ProtocolClaudeCursorSocial Media APIAI AgentsTikTokInstagram

Social Media MCP Server: Give Claude, Cursor & ChatGPT Live TikTok, Instagram, and YouTube Data

Your AI assistant is brilliant at reasoning — and completely blind to what happened on social media five minutes ago.

Ask Claude "how many followers does @mrbeast have on TikTok right now?" and you'll get a confident guess from training data that's months or years stale. Ask it to compare a creator's engagement across Instagram and YouTube, pull the comments on a viral post, or check what ads a competitor is running, and it simply can't — it has no way to reach the live data.

The SociaVault MCP server fixes that. It's a Model Context Protocol server that plugs 107 social media data tools directly into Claude, Cursor, VS Code, Cline, and any other MCP-compatible client. Once installed, your assistant can fetch real, current data from 11 platforms — in plain English — and reason over it.

This guide covers what it does, how to install it in about two minutes, real prompts you can copy, and answers to the questions people ask most.

Just want to start? Grab a free API key at sociavault.com/signup, then jump to Installation.

What is an MCP server (in plain English)?

The Model Context Protocol is an open standard — think of it as a USB-C port for AI. Instead of every tool inventing its own way to talk to AI assistants, MCP gives them one shared language. An MCP server exposes a set of "tools" (functions the AI can call), and an MCP client (Claude Desktop, Cursor, etc.) lets the model call those tools when it needs them.

So when you ask a question that needs live social data, the model doesn't hallucinate an answer — it calls the right SociaVault tool, gets back real JSON, and uses it to respond. You stay in the chat; the data comes to you.

If you've ever wired up an API by hand, MCP is the difference between writing fetch calls all day and just asking.

What the SociaVault MCP server does

It turns your AI assistant into a social media research analyst with access to 11 platforms:

  • TikTok — profiles, videos, comments, transcripts, followers, keyword/hashtag/music search, trending, and Creative Center charts
  • TikTok Shop — products, product details, reviews, search
  • Instagram — profiles, posts, reels, comments, transcripts, highlights, reels-by-audio
  • YouTube — channels, videos, shorts, transcripts, search, comments, playlists, community posts
  • Twitter / X — profiles, tweets, replies, quotes, retweets, followers, search, communities
  • LinkedIn — profiles, companies, posts
  • Facebook — profiles, pages, posts, reels, group posts, comments, transcripts
  • Reddit — subreddits, posts, comments, transcripts, site-wide search
  • Threads — profiles, posts, search
  • Pinterest — pins, boards, search
  • Twitch — profiles, videos, schedules, clips
  • Ad libraries — TikTok, Meta (Facebook/Instagram), Google, and LinkedIn for competitor ad research

That's 107 tools in total, each one mapped to a SociaVault API endpoint and documented so the model knows exactly when to reach for it.

Why this is genuinely useful

A standalone API is great for developers who want to write code. An MCP server is for everyone — because the interface is conversation. A few of the workflows it unlocks:

  • Creator research without tabs. "Pull @charlidamelio's last 20 TikToks and tell me which themes get the most engagement." No spreadsheet, no scraping script.
  • Competitor intelligence. "Search the Meta Ad Library for active Nike ads in the US and summarize their angles." Your AI reads the ad library so you don't have to.
  • Influencer vetting. "Check this creator's follower-to-engagement ratio and flag anything that looks like fake followers." Pairs perfectly with our work on detecting fake followers.
  • Content analysis. "Get the transcript of this YouTube video and give me the five key takeaways." Transcripts across TikTok, Instagram, YouTube, Facebook, Reddit, and X.
  • Trend monitoring. "What's trending on TikTok in the US right now, and which sounds are surging?" Great input for a TikTok trend tracker.
  • Building, faster. If you're a developer, the MCP server is a live testbed for the API while you build — like a social media dashboard or a data pipeline.

The common thread: the data is current, structured, and one sentence away.

Installation

The server runs through npx, so there's nothing to install globally and nothing to maintain — your client fetches the latest version automatically.

Step 1 — Get your API key

Sign up at sociavault.com/signup. New accounts get free credits, no card required. Copy your key (it starts with sk_live_) from the dashboard.

Step 2 — Add it to your AI client

Claude Desktop — edit your config file:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "sociavault": {
      "command": "npx",
      "args": ["-y", "sociavault-mcp"],
      "env": {
        "SOCIAVAULT_API_KEY": "sk_live_your_key_here"
      }
    }
  }
}

Restart Claude Desktop and you'll see the SociaVault tools appear.

Cursor — add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per-project):

{
  "mcpServers": {
    "sociavault": {
      "command": "npx",
      "args": ["-y", "sociavault-mcp"],
      "env": { "SOCIAVAULT_API_KEY": "sk_live_your_key_here" }
    }
  }
}

VS Code (Copilot) — add to .vscode/mcp.json:

{
  "servers": {
    "sociavault": {
      "command": "npx",
      "args": ["-y", "sociavault-mcp"],
      "env": { "SOCIAVAULT_API_KEY": "sk_live_your_key_here" }
    }
  }
}

Cline and other clients — point them at the command npx -y sociavault-mcp with SOCIAVAULT_API_KEY in the environment. That's the whole setup.

Step 3 — Ask a question

Restart your client and try: "Get the TikTok profile for @nike." If you get back follower counts and bio details, you're live.

Example prompts to try

The model picks the right tool automatically — you just describe what you want:

  • "Compare the follower counts and engagement of @cristiano on Instagram vs. his YouTube channel."
  • "Get the top comments on this TikTok video and summarize the sentiment: <url>"
  • "Search YouTube for 'mcp tutorial' uploaded this month, sorted by view count, and list the top 10."
  • "Pull the last 30 posts from r/webscraping and tell me the recurring pain points."
  • "Find Instagram reels using this audio and rank them by plays: <audio_id>"
  • "Search the TikTok Ad Library for fitness ads in the UK over the last 30 days."
  • "Get the transcript of this YouTube video and turn it into a LinkedIn post: <url>"
  • "Check my SociaVault credit balance." (Yes, there's a check_credits tool too.)

How it's built (for the curious)

The server is open source and built on the modern MCP TypeScript SDK. Every tool maps to a documented SociaVault endpoint, with typed inputs validated by Zod and clear, structured JSON responses. Most tools support a trim option (on by default) that returns a leaner payload so you don't burn context-window tokens on raw fields you don't need. Pagination is exposed through cursors, so your assistant can page through long lists when it needs to.

It ships on npm as sociavault-mcp and is published to the official MCP Registry, Smithery, and the Cursor directory, so you can install it whichever way fits your workflow.

Pricing

The MCP server itself is free and open source. You only pay for the SociaVault API usage it makes, billed as credits — each tool call costs credits depending on the endpoint.

  • Free — credits included on signup, no credit card needed.
  • Credit packs — Starter, Growth, Pro, and Enterprise bundles for heavier usage.

Credits don't reset on a monthly treadmill — you buy a pack and draw it down. See current packs at sociavault.com/pricing, and check your balance any time by asking your assistant to run check_credits.

Security and privacy

A few things worth knowing:

  • Your key stays local. It lives in your client's config and is sent only to the SociaVault API. The MCP server is open source, so you can read exactly what it does.
  • Read-only by design. Every tool is a data-retrieval call. The server doesn't post, delete, or modify anything on any platform.
  • Public data. SociaVault returns publicly available social media data, the same information a person could view in a browser.

Why SociaVault for AI agents

There are general scraping tools and there are social-specific APIs. For AI agents, a few things matter more than usual:

  • Breadth in one place. 11 platforms and 107 tools behind a single key, instead of stitching together five vendors.
  • Token-aware responses. Trimmed payloads keep responses small enough for the model to actually use.
  • Reliability. We handle the platform changes and anti-bot churn so your agent keeps working.
  • Real depth. Not just profiles — comments, transcripts, ad libraries, search, and trends.

If you're weighing options, our guide to automating social media data collection and our engagement-rate benchmarks are good companion reads, and the no-code crowd may prefer our influencer finder approach.

Frequently asked questions

What is the SociaVault MCP server?

It's an open-source Model Context Protocol server that connects your AI assistant (Claude, Cursor, VS Code, Cline, and others) to live social media data across 11 platforms, exposing 107 tools for profiles, posts, comments, transcripts, search, trends, and ad libraries.

Which AI clients does it work with?

Any MCP-compatible client. That includes Claude Desktop, Cursor, VS Code (Copilot), Cline, and others. The setup is the same everywhere: run npx -y sociavault-mcp with your API key in the environment.

Do I need to know how to code?

No. If you can edit a small JSON config file once, you're done. After that, you interact entirely through natural-language chat. Developers get extra value because the same server doubles as a live API testbed.

Is it free?

The server is free and open source. You pay only for the SociaVault API usage, billed in credits, and new accounts start with free credits. See pricing.

Which platforms are supported?

TikTok, TikTok Shop, Instagram, YouTube, Twitter/X, LinkedIn, Facebook, Reddit, Threads, Pinterest, and Twitch — plus the TikTok, Meta, Google, and LinkedIn ad libraries.

Can it get post comments and video transcripts?

Yes. There are dedicated tools for comments (TikTok, Instagram, YouTube, Facebook, Reddit, X) and transcripts (TikTok, Instagram, YouTube, Facebook, Reddit, and tweet videos).

Does it work for competitor ad research?

Yes. It includes tools for the TikTok Ad Library, Meta (Facebook/Instagram) Ad Library, Google Ad Transparency Center, and LinkedIn Ad Library — so you can ask your assistant to find and summarize a competitor's ads.

Is my API key safe?

Your key is stored in your own client's config and sent only to the SociaVault API. The server is open source and read-only — it never posts or changes anything.

How do I install it on Claude Desktop?

Add the SociaVault block to your claude_desktop_config.json (see Installation above) with your sk_live_ key, then restart Claude Desktop.

How many tools does it expose?

107 tools across the supported platforms, each mapped to a documented SociaVault endpoint.

Where can I see the full API documentation?

At docs.sociavault.com, which documents every endpoint the MCP server is built on.

Get started

Connecting your AI assistant to live social media data takes about two minutes:

  1. Create a free account and copy your API key.
  2. Add the npx -y sociavault-mcp config to your client.
  3. Ask your first question.

No credit card, free credits to start, and 107 tools waiting. Give your AI assistant eyes on social media — get started free or browse the docs.

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